Bas van Stein
Postdoc
- Name
- Dr. B. van Stein
- Telephone
- +31 71 527 7052
- b.van.stein@liacs.leidenuniv.nl
Postdoc
- Wiskunde en Natuurwetenschappen
- Leiden Inst. Advanced Computer Sciences
- Stein B. van, Wang H., Kowalczyk W.J., Emmerich M.T.M. & Bäck T.H.W. (2019), Cluster-based Kriging approximation algorithms for complexity reduction, Applied Intelligence .
- Winter R. de, Stein B. van, Dijkman, M., Bäck & T.H.W. (2019), Designing Ships Using Constrained Multi-objective Efficient Global Optimization. In: Nicosia G., Parda-los P., Giuffrida G., Umeton R., Sciacca V., (Eds.) Machine Learning, Optimization, and Data Science LOD2018. no. 11331 Cham: Springer International Publishing. 191–203.
- Stein B. van, Wang H. & Bäck T.H.W. (2019), Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. In: 2019 International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary, Hungary: IEEE. 1-7.
- Stein B. van, Wang H. & Bäck T.H.W. (2019), Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. In: 2019 International Joint Conference on Neural Networks (IJCNN).: IEEE. 1-7.
- Stein B. van (20 September 2018), Data driven modeling & optimization of industrial processes (PhD thesis. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): Bäck T.H.W., Kowalczyk W.J.
- Stein B. van, Wang H., Kowalczyk W.J. & Bäck T.H.W. (2018), A Novel Uncertainty Quantification Method for Efficient Global Optimization. In: Medina J., Ojeda-Aciego M., Verdegay J.L., Perfilieva I., Bouchon-Meunier B., Yager R.R. (Eds.) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. no. Communications in Computer and Information Science, volume 855 Cham: Springer. 480-491.
- Stein B. van, Wang H. & Bäck T.H.W. (2018), Automatic Configuration of Deep Neural Networks with EGO.
- Rijn S.J. van, Wang H., Stein B. van & Bäck T.H.W. (2017), Algorithm Configuration Data Mining for CMA Evolution Strategies. In: GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. New York: ACM. 737-744.
- Wang H., Stein B. van, Emmerich M.T.M. & Bäck T.H.W. (2017), Time complexity reduction in efficient global optimization using cluster kriging. In: GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. New York: ACM. 889-896.
- Spek T. van der, Stein B. van, Holst M. van der & Bäck T.H.W. (2017), A Multi-Method Simulation of a High-Frequency Bus Line. In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITCS).: IEEE Xplore. 1-6.
- Wang H., Stein B. van, Emmerich M.T.M. & Bäck T.H.W. (2017), A New Acquisition Function for Bayesian optimization based on the moment-generating function. In: Hao Wang, Stein B. van,Michael T. M.Emmerich, Bäck T.H.W. (Eds.) 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Banff, AB, Canada: IEEE. 507-512.
- Stein B. van, Leeuwen M. van & Bäck T. (2017), Local Subspace-Based Outlier Detection using Global Neighbourhoods. In: 2016 IEEE International Conference on Big Data (Big Data).: IEEE. 1136-1142.
- Stein B. van, Leeuwen M. van, Hao Wang, Purr S., Kreissl S., Meinhardt J. & Bäck T.H.W. (2017), Towards Data Driven Process Control in Manufacturing Car Body Parts. In: 2016 International Conference on Computational Science and Computational Intelligence CSCI.: IEEE CPS.
- Stein B. van, Hao Wang, Kowalczyk W.J., Michael T. M.Emmerich & Bäck T.H.W. (2016), Fuzzy clustering for Optimally Weighted Cluster Kriging. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).: IEEE. 978-1-5090-0627-4.
- Stein B. van & Kowalczyk W.J. (2016), An Incremental Algorithm for Repairing Training Sets with Missing Values. In: Carvalho J.P., Lesot M., Kaymak U., Vieira S. Bouchon-Meunier B., Yager R.R. (Eds.) Information Processing and Management of Uncertainty in Knowledge-Based Systems. no. 611 Switzerland: Springer International Publishing. 175-186.
- Stein B. van, Kowalczyk W.J. & Bäck T.H.W. (2016), Analysis and Visualization of Missing Value Patterns. In: Carvalho J., Lesot M.J., Kaymak U., Vieira S., Bouchon-Meunier B., Yager R. (Eds.) Information Processing and Management of Uncertainty in Knowledge-Based Systems. no. 611 Switzerland: Springer International Publishing. 187-198.
- Heiningen P. van, Stein B. van & Bäck T.H.W. (2016), A Framework for Evaluating Meta-models for Simulation-based Optimisation. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI).: IEEE.
- Stein B. van, Leeuwen M. van & Bäck T.H.W. (2016), Local Subspace-Based Outlier Detection using Global Neighbourhoods. In: 2016 IEEE International Conference on Big Data (Big Data).: IEEE Publishing.
- Stein B. van, Wang H., Kowalczyk W., Bäck T. & Emmerich M. (2015), Optimally Weighted Cluster Kriging for Big Data Regression. In: Fromont E., Bie T. de, Leeuwen M. van (Eds.) Advances in Intelligent Data Analysis XIV. no. LNCS 9385 Cham: Springer International Publishing. 310-321.
- Stein B. van, Michael T. M.Emmerich & Yang Z. (2013), Fitness Landscape Analysis of NK Landscapes and Vehicle Routing Problems by Expanded Barrier Trees. In: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV.: Springer International Publishing. 75-89.
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